Research on the development efficiency of regional high-end talent in China: A complex network approach
In this paper, based on the panel data of 31 provinces and cities in China from 1991 to 2016, the regional development efficiency matrix of high-end talent is obtained by DEA method, and the matrix is converted into a continuous change of complex networks through the construction of sliding window....
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| Veröffentlicht in: | PloS one 2017-12, Vol.12 (12), p.e0188816-e0188816 |
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| creator | Zhang, Zhen Wang, Minggang Tian, Lixin Zhang, Wenbin |
| description | In this paper, based on the panel data of 31 provinces and cities in China from 1991 to 2016, the regional development efficiency matrix of high-end talent is obtained by DEA method, and the matrix is converted into a continuous change of complex networks through the construction of sliding window. Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious. |
| doi_str_mv | 10.1371/journal.pone.0188816 |
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Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0188816</identifier><identifier>PMID: 29272286</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Academically gifted ; Analysis ; Applied mathematics ; Biology and Life Sciences ; China ; Cities ; Clustering ; Computer and Information Sciences ; Crude oil ; Demographic aspects ; Economic aspects ; Economic development ; Economic growth ; Economic models ; Efficiency ; Energy industry ; Innovations ; Low level ; People and Places ; Personnel development ; Physical Sciences ; Production functions ; Professional development ; Regional development ; Regional planning ; Science Policy ; Social Sciences ; Statistical mechanics ; Topology</subject><ispartof>PloS one, 2017-12, Vol.12 (12), p.e0188816-e0188816</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious.</description><subject>Academically gifted</subject><subject>Analysis</subject><subject>Applied mathematics</subject><subject>Biology and Life Sciences</subject><subject>China</subject><subject>Cities</subject><subject>Clustering</subject><subject>Computer and Information Sciences</subject><subject>Crude oil</subject><subject>Demographic aspects</subject><subject>Economic aspects</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Economic models</subject><subject>Efficiency</subject><subject>Energy industry</subject><subject>Innovations</subject><subject>Low level</subject><subject>People and Places</subject><subject>Personnel 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Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zhen</au><au>Wang, Minggang</au><au>Tian, Lixin</au><au>Zhang, Wenbin</au><au>Du, Wen-Bo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on the development efficiency of regional high-end talent in China: A complex network approach</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-12-22</date><risdate>2017</risdate><volume>12</volume><issue>12</issue><spage>e0188816</spage><epage>e0188816</epage><pages>e0188816-e0188816</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In this paper, based on the panel data of 31 provinces and cities in China from 1991 to 2016, the regional development efficiency matrix of high-end talent is obtained by DEA method, and the matrix is converted into a continuous change of complex networks through the construction of sliding window. Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29272286</pmid><doi>10.1371/journal.pone.0188816</doi><tpages>e0188816</tpages><orcidid>https://orcid.org/0000-0003-4817-8580</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Academically gifted Analysis Applied mathematics Biology and Life Sciences China Cities Clustering Computer and Information Sciences Crude oil Demographic aspects Economic aspects Economic development Economic growth Economic models Efficiency Energy industry Innovations Low level People and Places Personnel development Physical Sciences Production functions Professional development Regional development Regional planning Science Policy Social Sciences Statistical mechanics Topology |
| title | Research on the development efficiency of regional high-end talent in China: A complex network approach |
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